Sequential subspace adaptation plus E3C hyper-reduction yields a lower-dimensional affine subspace for dissipative microstructure homogenization while preserving a projected Hill-Mandel condition.
E3c hyper-reduction for computational homog- enization in nonlinear mechanics.Computational Mechanics, 76(6):1563–1572
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EMSL groups material points into clusters, samples a reference strain per cluster once per increment, and computes a linearised stress estimate from the reference tangent and POD strain modes, yielding an affine reduced system that requires no iterations online and Pareto-dominates prior strain-cubc
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Sequential Subspace Mode Adaptation for the Reduced-Order Homogenization of Dissipative Microstructures using E3C Hyper-Reduction
Sequential subspace adaptation plus E3C hyper-reduction yields a lower-dimensional affine subspace for dissipative microstructure homogenization while preserving a projected Hill-Mandel condition.
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Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity
EMSL groups material points into clusters, samples a reference strain per cluster once per increment, and computes a linearised stress estimate from the reference tangent and POD strain modes, yielding an affine reduced system that requires no iterations online and Pareto-dominates prior strain-cubc